Data Scientist/Business Developer - Cognitive Intelligence Software

• Jan 2022 - Present

InspireMe is a digital workplace that enables employees to better understand their business’ ecosystems, helps them make better decisions through the discovery of goals and insights, and allows them to focus on human-centered activities. InspireMe is a digital workplace that enables employees to better understand their business’ ecosystems, helps them make better decisions through the discovery of goals and insights, and allows them to focus on human-centered activities.

Investor

• Feb 2022 - Present

Data Scientist - Biocomputing

• Nov 2020 - Dec 2021

Laboratory of Biological Intelligence, Fred Jordan Responsibilities: - Cell culture and tissue engineering using human neural tissues derived from iPS cells - Data analysis exploiting machine learning & AI algorithms and descriptive statistics - Electrophysiology experiments on perfused 3-D neural tissues including electrical stimulation - Leading the writing of an Innosuisse project - Writing reports and protocols Accomplishments: - A web service in Python for evaluating metrics in real time (multithreading) done - A web page in Python for data mining and metrics visualization done - UNet implementation in Python for intelligent bubbles detection done - A web service in Python for intelligent decision making about perfusion strategy done - Innosuisse project entitled « Bioelectronic Neuroscience Platform: System for Maintaining and Controlling Large 3-D Neural Tissues Structures for AI Applications » submitted - Co-inventor of a recently filed patent - Several protocols and procedures about experiments written Show less

Scientific Assistant HES - Electrophysiology

• Jul 2016 - Aug 2020

Tissue Engineering Laboratory, Prof. Luc Stoppini Responsibilities: - Design and development of electrophysiology experiments performed on human 3-D neural tissues for applications in neurotoxicology, neuropharmacology and neuroprosthetics - Data analysis exploiting machine learning & AI algorithms and descriptive statistics - Co-management and data analysis in different projects such as BrainOnChip, Geneva Array, SpikeOnChip and DeepAPMEA Accomplishments: - Writing different algorithms for data mining, spike sorting, classification and pattern analysis in Python done - User friendly GUI for high throughput data analysis in Python made - Noise rejection algorithm based on artificial neural networks such as LSTM, LSTM-FCN and TCN validated - Effect of pharmacological molecules such as NMDA, D-AP5, Kinic acid, CNQX and Bicuculine on human 3-D neural tissues using custom-made analytical tools demonstrated - Possibility to record electrophysiological data using a new type of intracortical probe on 3-D neural tissues demonstrated - Experiments for 4 private campanies in the field of AI, pharmacology and tissue engineering performed Show less

Data Science - Life Science Applications

• Mar 2015 - Jun 2016

Machine Learning - Linear Regression - Logistic Regression - Regularization - Support Vector Machines: linear and non-linear kernels - K-Means Algorithm - Anomaly Detection: Gaussian and multivariate Gaussian distributions - Optimization: gradient descent, mini-batch and stochastic gradient descent algorithms, online learning, map reduce Neural Networks - Feed-forward neural networks - Recurrent networks - Convolutional neural networks Python - NumPy: creating and manipulating numerical data - Matplotlib: plotting - Seaborn: Statistics - Scipy: high-level scientific computing - Scikit-learn: machine learning - Pandas: data structures & analysis - IPython: enhanced interactive console - Pytorch, tensorflow and keras: neural networks Matlab - Neural Networks: classification, regression and clustering - Time Series: analysis and forecasting NVIDIA Jetson Nano - Intelligent real time data analysis - Autonomous system - Inference Show less

Engineer - Optogenetics and Machine Learning

• Oct 2015 - Dec 2015

Institute of Neuroinformatics, Prof. Richard Hahnloser (40%) Responsibilities: - Building a set-up for optogenetics on songbirds - Signal processing exploiting machine learning algorithms Accomplishments: - Document representing different possibilities for financing the set-up provided Institute of Neuroinformatics, Prof. Richard Hahnloser (40%) Responsibilities: - Building a set-up for optogenetics on songbirds - Signal processing exploiting machine learning algorithms Accomplishments: - Document representing different possibilities for financing the set-up provided

Research Assistant - Bio-Nanophotonics (PostDoc)

• Jan 2015 - Jun 2015

Laboratory of Nanoscale Biology, Prof. Aleksandra Radenovic Responsibilities: - Optical trapping of nitrogen-vacancy nanodiamonds in living cell - Wrench set-up for optical trapping of particles - Writing and presenting scientific documents - Patenting a technology Accomplishments: - 1 book chapter and 1 article published - 1 optical set-up built - Torque measurements at nanoscale quantified - LabView and Matlab programs for data acquisition and analysis improved - Acquisition electronic for the measurement of 4 signals at 750 kHz sampling rate improved - 5 talks presented - Collaboration with laboratory members done - Ideas for a patent defined Show less

Research Assistant - Nanophotonics (PostDoc)

• Jul 2013 - Oct 2014

Laboratory of Physics of Complex Matter, Prof. Lászó Forró and Dr. Andrzej SienkiewiczResponsibilities:- Managing projects in nanophotonics- Operation of an optical set-up for investigations at nanoscale - Writing and presenting scientific documents- Resources managementAccomplishments:- 3 articles written and 2 articles published- 1 LabView program to scan and record the spectrum at each position (spectral image) written- 1 and 2 photon imaging of single upconversion particles performed- Collaborations with 2 scientists in the world established- Project of 1 PhD working in photonic force microscopy and 1 Postdoc working in photonic crystals co-managed Show less

Research Assistant - Nanophotonics (PhD)

• Mar 2009 - Jun 2013

Laboratory of Physics of Complex Matter, Prof. Lászó Forró and Dr. Sylvia JeneyResponsibilities:- Developing luminescent Brownian probes for near-field investigations of the intracellular environmentby combining photonic force microscopy with nonlinear optical effects at the single particle level- Improving an optical set-up- Simulating heat, Maxwell and Langevin equationsAccomplishments:- Optical trapping of individual particles having nonlinear optical properties such as two photon process, second-harmonic generation and upconversion achieved- Characterisation of particles by electron microscopy performed- Detection of Brownian motion in 3D at 1 MHz sampling rate and 1 nm spatial resolution made possible - Signal-to-noise ratio for the Brownian motion detection improved- Resonances of 20% overshoot in the Brownian motion measured- Interaction between a highly focused electromagnetic field and a sperical/non-spherical particle simulated- Brownian motion of spherical/non-spherical particle modeled- Optical forces and torques acting on a single trapped particle quantified- Intrinsic light emitted by the trapped particle detected and quantified (1 nW to 1 µW)- Use of the trapped particle as a local light source to excite fluorophores present in a small concentration demonstrated- 3 articles published- 3 conference talks done- 1 prize awardedSchool of basic sciences, Dr. Rosendo SanjinesResponsibility:- Managing practical class for 3rd year students in PhysicsAccomplishments:- Construction of a low cost optical trapping set-up by 3 groups of 2 students managed- 3 groups of 2 students performing fluorescence based experiments managed- 1 prize awarded Medicine School, Prof. Lászó ForróResponsibility:- Teaching Physics for 1st year students in MedicineAccomplishment:- 8 sets of exercises and corrections made, and workouts for 15 students animated Show less